Source characterization of full-scale jet noise using acoustic intensity

2015 ◽  
Vol 63 (6) ◽  
pp. 522-536 ◽  
Author(s):  
Trevor A. Stout ◽  
Kent L. Gee ◽  
Tracianne B. Neilsen ◽  
Alan T. Wall ◽  
Michael M. James
2015 ◽  
Vol 138 (3) ◽  
pp. 1916-1916
Author(s):  
Trevor A. Stout ◽  
Kent L. Gee ◽  
Tracianne B. Neilsen ◽  
Alan T. Wall ◽  
Michael M. James

2019 ◽  
Vol 146 (1) ◽  
pp. 665-680
Author(s):  
Blaine M. Harker ◽  
Kent L. Gee ◽  
Tracianne B. Neilsen ◽  
Alan T. Wall ◽  
Michael M. James

Author(s):  
Kent L. Gee ◽  
Masahito Akamine ◽  
Koji Okamoto ◽  
Tracianne B. Neilsen ◽  
Seiji Tsutsumi ◽  
...  

Fact Sheet ◽  
1997 ◽  
Author(s):  
Michael L. Pomes ◽  
W.R. Green ◽  
E.M. Thurman ◽  
W.H. Orem ◽  
H.T. Lerch

2021 ◽  
Vol 235 ◽  
pp. 112101
Author(s):  
Johnny Estephan ◽  
Changda Feng ◽  
Arindam Gan Chowdhury ◽  
Mauricio Chavez ◽  
Appupillai Baskaran ◽  
...  

2015 ◽  
Vol 14 (5-6) ◽  
pp. 729-766 ◽  
Author(s):  
Franck Bertagnolio ◽  
Helge Aa. Madsen ◽  
Christian Bak ◽  
Niels Troldborg ◽  
Andreas Fischer

2003 ◽  
Author(s):  
Alain C. Carrier ◽  
Jean-Noel Aubrun ◽  
Robert R. Clappier ◽  
Timothy Hilby ◽  
Kenneth R. Lorell ◽  
...  
Keyword(s):  

2021 ◽  
Vol 21 (8) ◽  
pp. 2299-2311
Author(s):  
Andrea Antonucci ◽  
Andrea Rovida ◽  
Vera D'Amico ◽  
Dario Albarello

Abstract. The geographic distribution of earthquake effects quantified in terms of macroseismic intensities, the so-called macroseismic field, provides basic information for several applications including source characterization of pre-instrumental earthquakes and risk analysis. Macroseismic fields of past earthquakes as inferred from historical documentation may present spatial gaps, due to the incompleteness of the available information. We present a probabilistic approach aimed at integrating incomplete intensity distributions by considering the Bayesian combination of estimates provided by intensity prediction equations (IPEs) and data documented at nearby localities, accounting for the relevant uncertainties and the discrete and ordinal nature of intensity values. The performance of the proposed methodology is tested at 28 Italian localities with long and rich seismic histories and for two well-known strong earthquakes (i.e., 1980 southern Italy and 2009 central Italy events). A possible application of the approach is also illustrated relative to a 16th-century earthquake in the northern Apennines.


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